The technology disclosed herein enables communications among users having communication session requests waiting in a queue. In a particular embodiment, a method includes determining that a first communication session request from a first endpoint is in a queue for establishing a communication session with a receiving endpoint to which the queue is regulating access. While the first communication session request is in the queue, the method includes connecting the first endpoint to a communication channel between the first endpoint and a second endpoint having a second communication session request in the queue. Also, while the first communication session request is in the queue, the method includes exchanging user communications between the first endpoint and the second endpoint over the communication channel.

A processor may receive a call transcript including text and form a text string including at least a portion of the text. The processor may generate a situation description of the call transcript, which may comprise processing the text string using a transformer-based machine learning model. The processor may generate a trouble description of the call transcript, which may comprise creating a sentence embedding of the situation description, creating sentence embeddings for a plurality of utterances within the portion of the text, determining respective similarities between the sentence embedding of the situation description and each of the sentence embeddings for each respective one of the plurality of utterances, and selecting at least one of the plurality of utterances having at least one highest determined respective similarity as the trouble description. The processor may store a call summary comprising the situation description and the trouble description in a non-transitory memory.

A method to transcribe communications includes the steps of obtaining a plurality of hypothesis transcriptions of a voice signal generated by a speech recognition system, determining consistent words that are included in at least first and second of the plurality of hypothesis transcriptions, in response to determining the consistent words, providing the consistent words to a device for presentation of the consistent words to an assisted user, and presenting the consistent words via a display screen on the device, wherein a rate of the presentation of the words on the display screen is variable.

A method and an apparatus for converting a speech-to-text in a multiparty call. Receiving speech-to-text requests sent by at least two terminals, where the speech-to-text requests include a first identifier and a second identifier; allocating a session to the at least two terminals, so that in the speech-to-text requests sent by the at least two terminals, terminals that have a same first identifier or a same second identifier have a same session; receiving, by using a packet-switched domain, a voice stream whose sampling rate is greater than 8 KHz and that is sent by at least one terminal in one multiparty call, where the multiparty call corresponds to one session; converting the voice stream into a text; and sending the text to a terminal in the multiparty call.

A system is provided that includes a first network interface for a first network type and a second network interface for a second network type that is different from the first network type. The system also includes at least one processor configured to cause the system to perform operations. The operations may include obtaining, from the first network interface, audio from a communication session with a remote device established over the first network and obtaining an indication of a communication device available to participate in the communication session and direct audio obtained from the communication session to a remote transcription system. The operations may also include directing the audio to the second network interface for transmission to the communication device, obtaining transcript data from the remote transcription system based on the audio, and directing the transcript data to the second network interface for transmission to the communication device.

Different call managing techniques are described for both voice calls and video calls. A call management system detects that a user is on an active call. The call management system detects that the user has continued to speak when the call was disconnected, as by another user terminating the call or poor network conditions. When the call management system detects a disconnected call, it records the spoken speech into a buffer and determines which portion of the user's speech was not processed and communicated to the other user. The user whose call was terminated is provided with an option to provide the un-communicated speech to the other user. Options can include sending a text version of the un-communicated speech to the other user or sending a voice file to the other user.

Different call managing techniques are described for both voice calls and video calls. A call management system detects that a user is on an active call. The call management system detects that the user has continued to speak when the call was disconnected, as by another user terminating the call or poor network conditions. When the call management system detects a disconnected call, it records the spoken speech into a buffer and determines which portion of the user's speech was not processed and communicated to the other user. The user whose call was terminated is provided with an option to provide the un-communicated speech to the other user. Options can include sending a text version of the un-communicated speech to the other user or sending a voice file to the other user.

Methods and systems for call processing are described. A call from a caller intended for a first party is received at a call processing system, which stores call signaling information associated with the call. A greeting is played to the caller, and a voice communication is received and recorded. At least a first portion of the voice communication is transmitted in substantially real time to a terminal associated with the first person. At least a portion of the voice communication is converted to text and the text is stored and transmitted to a terminal associated with the first party. When a search query is received from the first party, the system searches the data store to determine if there is matching call having related matching call information. If there is a matching call, related information may be provided to the first party.

A method includes receiving a first request associated with a first user account and comprising content of a first message and a first plurality of destination endpoints, and a second request associated with a second user account and comprising content of a second message and a second plurality of destination endpoints to receive the second message, generating a first list of routing options for delivering the first message to the first plurality of destination endpoints, and a second list of routing options for delivering the second message to the second plurality of destination endpoints, generating, based on the first list of routing options, one or more versions of the first message for delivery to the first plurality of endpoints, and generating, based on the second list of routing options, one or more versions of the second message for delivery to the second plurality of endpoints. The method further includes causing the one or more versions of the first message to be transmitted to the first plurality of destination endpoints, and the one or more versions of the second message to be transmitted to the second plurality of destination endpoints, and providing first access rate statistics collected by tracking access to the one or more versions of the first message by the first plurality of destination endpoints, and second access rate statistics collected by tracking access to the one or more versions of the second message by the second plurality of destination endpoints.

A method for generating a predictor of customer behavior for a contact center includes: collecting, by a processor, data from a plurality of different applications of the contact center, the data being stored in a plurality of different formats, the data corresponding to a plurality of recorded interactions between a plurality of customers and the contact center; converting, by the processor, the data from the plurality of different formats into a common format; generating, by the processor, a plurality of customer models for the customers by, for each customer of the customers: identifying, from the data from the plurality of different applications, identified data associated with the customer; and aggregating the identified data in an individual customer model of the plurality of customer models, the individual customer model being associated with the customer; and generating, by the processor, a predictor in accordance with the customer models.